Publication

Distributed model predictive control applied to a VAV based HVAC system based on sensitivity analysis

Conference Article

Conference

IFAC Conference on Nonlinear Model Predictive Control (NMPC)

Edition

6th

Pages

259-264

Doc link

https://doi.org/10.1016/j.ifacol.2018.11.023

File

Download the digital copy of the doc pdf document

Authors

Abstract

This paper proposes a distributed model predictive control strategy for a HVAC system that relies on its decomposition into subsystems based on the sensitivity analysis. An economic model predictive controller is implemented for every subsystem to optimize the operational cost of the building without compromising the thermal comfort of the occupants. Also, this work demonstrates the coordination strategy between the subsystem controllers using the sensitivity analysis approach. A discussion about the coordination strategy with the convergence property is provided. Finally, the proposed approach is illustrated using the benchmark building that considers the weather of Nancy, France.

Categories

control theory.

Author keywords

VAV type HVAC system; Distributed Mode Predictive Control; Energy Optimization

Scientific reference

T. Darure, V. Puig, J. Yamé, F. Hamelin and Y. Wang. Distributed model predictive control applied to a VAV based HVAC system based on sensitivity analysis, 6th IFAC Conference on Nonlinear Model Predictive Control, 2018, Madison, Wisconsin, USA, Vol 51:20 of IFAC Papers Online, pp. 259-264, 2018.